10 papers with code • 1 benchmarks • 4 datasets
Image credit: https://arxiv.org/pdf/2012.07810v1.pdf
Video segmentation for the human head and shoulders is essential in creating elegant media for videoconferencing and virtual reality applications.
Despite the significant progress made by deep learning in natural image matting, there has been so far no representative work on deep learning for video matting due to the inherent technical challenges in reasoning temporal domain and lack of large-scale video matting datasets.
Experimental results show that our method can generate high-quality alpha mattes for various videos featuring appearance change, occlusion, and fast motion.